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Manager Nvidia Autonomous Driving Jobs in Texas (NOW HIRING)

... Manage NVIDIA GPU clusters for ML training. • Own the full CI/CD pipeline from source to ... Allen Control Systems develops autonomous defense technologies designed to detect, track, and ...

Driving coverage-based verification closure * Collaborate with design teams across NVIDIA to find ... If you're creative and autonomous, we want to hear from you. #LI-Hybrid Your base salary will be ...

... Manage NVIDIA GPU clusters for ML training. • Own the full CI/CD pipeline from source to ... Allen Control Systems develops autonomous defense technologies designed to detect, track, and ...

... autonomous counter-drone systems. The Platform Engineer will design, build, and manage the ... Manage NVIDIA GPU clusters for ML training. • Own the full CI/CD pipeline from source to ...

NVIDIA is seeking an outstanding Senior ASIC Verification Engineer to verify the design and ... driving cars and the growing field of artificial intelligence. We have crafted a team of ...

NVIDIA is seeking extraordinary power engineers to design hardware accelerators and processors on ... Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know ...

Senior Compiler Engineer Infrastructure

Austin, TX · On-site +1

$107K - $146K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

Senior AI Compiler Engineer, MLIR

Austin, TX

$121K - $160K/yr

NVIDIA is hiring a Senior AI Compiler Engineer. GPUs are driving rapid progress in deep learning ... If you're a creative and autonomous engineer with a real passion for technology, we want to hear ...

New

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

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Manager Nvidia Autonomous Driving information

What is the difference between Manager Nvidia Autonomous Driving vs Software Engineer Nvidia Autonomous Driving?

AspectManager Nvidia Autonomous DrivingSoftware Engineer Nvidia Autonomous Driving
Required CredentialsBachelor's/Master's in Engineering, Management experienceBachelor's/Master's in Computer Science or related field
Work EnvironmentTeam leadership, project management, cross-functional collaborationSoftware development, coding, testing, debugging
Employer & Industry UsageAutomotive tech companies, Nvidia, autonomous vehicle industryTech companies, Nvidia, autonomous vehicle projects

The main difference is that the Manager Nvidia Autonomous Driving oversees teams and projects related to autonomous vehicle technology, focusing on leadership and coordination. In contrast, the Software Engineer Nvidia Autonomous Driving is primarily involved in coding and developing the software components. Both roles require technical expertise, but the manager role emphasizes project management and team oversight.

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Cities in Texas with the most Manager Nvidia Autonomous Driving job openings:

CV/ML Platform Engineer

Allen Control Systems

Austin, TX • On-site

Full-time

Re-posted 28 days ago


Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup focused on developing autonomous technologies. They are seeking an experienced CV/ML Platform Engineer to design, build, and manage the infrastructure for their Computer Vision and Machine Learning team.
Responsibilities:
• Deploy and operate Kubernetes clusters on bare-metal infrastructure hosting 130+ NVIDIA GPUs, with hybrid burst capability to AWS for scalable compute and storage workloads.
• Manage NVIDIA GPU clusters for ML training.
• Own the ACS CV/ML CI/CD pipeline.
• Improve and maintain core ML infrastructure, such as model registration and versioning, experiment tracking, and model and data provenance tracking.
• Improve and maintain ML model testing, performance analysis, and reporting tools.
• Automate repetitive model training and testing tasks to increase developer velocity.
• Work with Software Team Platform Engineers to ensure efficient coordination and minimal duplication between CV/ML infrastructure and wider Software infrastructure.
• Collaborate with the Software Team to automate the optimization of models (TensorRT/quantization) for deployment on NVIDIA Jetson and other edge hardware.
Qualifications:
Required:
• 2+ years of experience in Platform Engineering or DevOps/MLOps.
• Strong programming skills are required for automating ML lifecycles and building custom CLI tools for CV engineers.
• Hands-on experience with NVIDIA GPU infrastructure, including managing CUDA libraries and development environments, GPU Operator, device plugins, and scheduling (MIG, Volcano, or fractional GPU sharing).
• Experience implementing and maintaining MLOps platforms such as Kubeflow, MLflow, Weights & Biases (W&B), or DVC for experiment tracking and model versioning.
• Familiarity with high-performance storage solutions (e.g., MinIO, WEKA, or Ceph) and data orchestration tools capable of handling terabytes of video/image data.
• Proven track record building CI/CD pipelines that include automated model validation, performance benchmarking, and artifact management for both cloud and edge targets.
• Experience with model optimization toolchains, including TensorRT, ONNX, and quantization techniques, specifically for cross-compilation to ARM targets like NVIDIA Jetson.
• Proficiency with observability stacks (ELK, Prometheus/Grafana) adapted for ML, including monitoring GPU health, training throughput, and model inference metrics.
• Strong Linux systems knowledge (Debian/Ubuntu), including networking for high-throughput data, storage, and security hardening for defense-grade production environments.
Company:
Allen Control Systems develops autonomous defense technologies designed to detect, track, and counter unmanned aerial threats. Founded in 2022, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.